“Fast Python for Data Science” is a book written by Tiago Antão that aims to provide a practical guide for using Python in data science projects.
“Fast Python for Data Science” is a book written by Tiago Antão that aims to provide a practical guide for using Python in data science projects. The book covers a wide range of topics related to Python and data science, including data manipulation, visualization, machine learning, and deep learning.
The book is suitable for both beginners and experienced Python programmers who want to learn more about data science. It includes practical examples and code snippets to help readers apply the concepts in real-world scenarios.
The book emphasizes best practices in data science, covering topics such as data science pipelines and workflows. It also covers advanced topics such as network analysis using NetworkX and big data processing using Apache Spark.
Overall, “Fast Python for Data Science” is a comprehensive guide to using Python for data science projects, written in an accessible and easy-to-understand style.
- Introduction to Python and its ecosystem
- Data structures and data manipulation using Pandas
- Data visualization using Matplotlib and Seaborn
- Machine learning using scikit-learn, TensorFlow, and Keras
- Deep learning using PyTorch
- Natural Language Processing (NLP)
- Network analysis using NetworkX
- Big data processing using Apache Spark
- Data science pipelines and workflows
- Best practices in data science
These are just some of the topics covered in the book. The book also includes practical examples and code snippets to help you apply the concepts in real-world scenarios.